Bibliographic record
Abstract
A 51-year-old previously healthy man presented to the emergency room following an episode of presyncope. He had a history of fever, pleuropericardial chest pain and dyspnoea accompanied by important myalgia evolving over several days. His past medical history was negative for any cardiovascular or pulmonary disease, and he was a lifelong non-smoker. He was previously very active with an excellent exertional capacity. His physical exam showed no frank heart failure, and he was haemodynamically stable. Laboratory results showed increased inflammatory markers including an erythrocyte sedimentation rate of 35 mm/h (normal 2–26 mm/h) and a C-reactive protein of 17 mg/L (normal 0.2–7.6). There was also a leucopenia at 3.7×109/L (normal 4.0–11.0) with a subtle lymphopenia of 0.9×109/L (normal 1.0–4.0) and a light thrombocytopenia of …
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".